Mobile safety application for AI-based drowning… — Mobile Case Study

MOBILE · mobile applications · real-time alerts · video streaming · safety UX · healthcare-adjacent apps

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Problem context

Drowning incidents in residential environments often occur silently and within seconds, leaving little time for intervention. Existing safety solutions rely on passive monitoring or hardware alarms, which fail to provide caregivers with timely, actionable information when they are away from the monitored area. The goal was to create a mobile-first safety application that serves as the primary interface for real-time awareness, alerts, and system control, enabling caregivers to respond immediately to dangerous situations.

Constraints

  • Real-time delivery of critical alerts with minimal latency
  • Clear, unambiguous UX for high-stress situations
  • Live video access and event visualization on mobile devices
  • Reliable operation without requiring constant user attention
  • Privacy-first design with local AI processing and minimal cloud dependency
  • Simple onboarding and configuration for non-technical users

Engineering decisions

Decision: Treat the mobile application as the primary decision-making interface
Reason: In emergency scenarios, caregivers interact with the system exclusively through their phones.
Trade-off: Required careful UX design to minimize cognitive load during alerts.
Decision: Design alert flows optimized for urgency and clarity
Reason: Safety-critical notifications must be immediately understandable and actionable.
Trade-off: Limited use of secondary or optional UI elements.
Decision: Integrate real-time video streaming and event playback into the mobile app
Reason: Visual confirmation enables faster and more confident decision-making.
Trade-off: Increased complexity in mobile performance optimization.
Decision: Implement user roles, profiles, and configurable alert thresholds
Reason: Different households and caregivers require flexible safety configurations.
Trade-off: More complex mobile state management.

System overview

The mobile application acts as the central control and visibility layer for the safety system. It provides real-time alerts, live video access, event history, and configuration tools. AI-based event detection occurs at the edge, while the mobile app delivers the insights that enable human intervention. The UX is optimized for rapid comprehension and response, turning complex sensor and AI data into simple, actionable signals.

Outcome

Mobile-first safety experience enabling rapid response to critical events. Clear, reliable alert delivery under real-world conditions. Intuitive configuration and monitoring for caregivers. High user trust driven by transparent, real-time feedback. Production-ready mobile application supporting a safety-critical system.

Engagement delivered under NDA. Details anonymized.